Evidence map›Paper›PMID 41321824›Full record

ArticleFrontiers in microbiology2025

Fertilization differences alter the diversity and function of tea plant rhizosphere soil microbial communities, thus affecting tea plant growth.

Qi Zhang, Songhan Guo, Yulin Wang, Yankun Liao, Xiaoli Jia, Bitong Zhu, Qiqi Weng, Haibin Wang, Jianghua Ye

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Qi Zhang *College of Tea and Food Science/Fujian Key Laboratory of Big Data Application and Intellectualization for Tea Industry (Wuyi University), Wuyi University, Wuyishan, China.
Songhan Guo *College of Life Science, Longyan University, Longyan, China.
Yulin WangCollege of Life Science, Longyan University, Longyan, China.
Yankun LiaoCollege of Life Science, Longyan University, Longyan, China.
Xiaoli JiaCollege of Tea and Food Science/Fujian Key Laboratory of Big Data Application and Intellectualization for Tea Industry (Wuyi University), Wuyi University, Wuyishan, China.
Bitong ZhuCollege of Tea and Food Science/Fujian Key Laboratory of Big Data Application and Intellectualization for Tea Industry (Wuyi University), Wuyi University, Wuyishan, China.
Qiqi WengCollege of Life Science, Longyan University, Longyan, China.
Haibin WangCollege of Life Science, Longyan University, Longyan, China.
Jianghua YeCollege of Tea and Food Science/Fujian Key Laboratory of Big Data Application and Intellectualization for Tea Industry (Wuyi University), Wuyi University, Wuyishan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Fertilization is one of the main agronomic measures in tea plantation management, but the effects of different fertilization patterns on the structure, function, and growth of tea plant rhizosphere soil microbial communities are still unclear. Methods: This study compared the effects of three fertilization treatments: 100% chemical fertilizer (CF), 50% chemical fertilizer + 50% organic fertilizer (COF), and 100% organic fertilizer (OF) on tea plant growth and rhizosphere soil microorganisms. Plant growth indicators were measured, and soil microbial communities were analyzed via high-throughput sequencing of 16S rDNA and ITS regions. Microbial functions were predicted using FAPROTAX and FUNGuild. Results: The COF treatment resulted in the most significant promotion of tea plant growth, with the highest chlorophyll content (30.47 SPAD), leaf area (18.76 cm Discussion: The synergistic effect of combined chemical and organic fertilization enhances lichenized function and suppresses fermentation, which in turn improves the accumulation of soil microbial biomass carbon, nitrogen, and phosphorus, ultimately fostering tea plant growth. These findings suggest that the COF fertilization strategy can be further optimized and provide a theoretical basis for scientific fertilization management in tea plantations.

Indexed as

characteristic microorganismsfertilization patternsmicrobial functionstea plant growthtea plants

Identifiers

PMID41321824
PMCPMC12661516

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.